Acquiring/Recognising Eyes TRIZ Cases

Eye opening width histograms replace complex facial recognition to assess driver attentiveness more reliably with lower computational load.

Video-based eye gaze analysis quantifies nystagmus and onset angle to deliver portable, objective roadside drug and alcohol impairment checks.

A silicon-based multilayer transflective coating boosts infrared transmission while preserving visible mirror reflectance for driver monitoring.

User orientation and gaze define a shared sight area, improving remote vehicle communication realism without sending every camera view.

Side-face eye tracking with driver-specific ID files improves drowsiness detection for glasses wearers while lowering real-time compute load.

Switchable image replacement lets remote users see outside a vehicle by digitally replacing obstructing interior regions in the camera view.

Varying light pulses reveal eye glint intensity curves that distinguish real faces from printouts or displays without costly 3D sensors.

A gaze-class model uses yaw, pitch, and distraction scoring to improve driver distraction detection while reducing false alarms.

Warnings adapt to the buildup rate of driver inattentiveness, extending alerts when distraction persists and avoiding premature reset.

A camera tracks driver posture and automatically shifts rear-view mirror angles to maintain visibility on curves, slopes, and seat-position changes.

Driver monitoring detects leaning or slouching and automatically shifts the rear-view field of view for blind-spot checks and parking.

Offset infrared lighting in a rearview mirror helps capture eye biometrics and mobile device use for more accurate occupant monitoring.

Periodic visual, audible, and haptic stimuli reveal ocular features that help detect unsafe driver cognitive states with less distraction.

By combining in-vehicle eye tracking with map-based gridmaps and histograms, this case measures which roadside ads are viewed and for how long.

A transflective film in an electrochromic rearview assembly passes near-infrared light to an image sensor while preserving visible mirror reflectance.

Mounting the cabin imager behind the display edge helps capture multiple occupants more accurately without adding separate in-cabin cameras.

Comparing expected road-scene gaze with tracked eye directions cuts processing load and improves driver attentiveness estimation response.

Driver state, gaze, and illumination data are used to personalize autonomous driving and keep HUD information visible with less fatigue.

A zoomable camera switches between close eye tracking and wide gesture capture to cut cost and processing load without losing detection accuracy.

Separate physical and mental fatigue detection helps vehicles choose tailored awakening stimuli and reduce accident risk from inadequate fatigue management.

Compares driver attention and attention-demand maps to detect where and how strongly visual distraction develops under changing road conditions.

A transparent dual-sided window display uses cameras to replace side mirrors, cutting drag while removing blind spots and showing warnings outside.

A neural heat-map model combines scene images with noisy gaze sequences to estimate attended driver awareness despite sensor noise and calibration errors.

Gaze-based distraction scoring adapts to in-vehicle equipment offset, improving warning accuracy while reducing false alerts.

Asymmetric on-axis and off-axis eye illumination improves pupil discrimination under ambient light, physiology changes, and glasses reflections.

An external light projection and eye-point detection scheme maps driver coordinates to actuator positions for precise automatic outside mirror adjustment.

Eye-gaze tracking softens peripheral display regions and pre-sharpens new focus areas to reduce driver cognitive load without losing information.

A detection line monitors optical element resistance or voltage in real time, enabling laser cutoff when damage or detachment occurs.

Targeted synthetic samples fill underrepresented attributes and scenarios, improving machine learning accuracy without costly data collection.

Selective region activation keeps high transmittance over sensors while reducing glare elsewhere, without visible seals or barriers.

IR temperature screening and automatic hand sanitization are integrated into access control to block high-temperature entry while keeping existing systems compatible.

IR temperature screening and UV hand sanitization are integrated into access control to block febrile entry with minimal added complexity.

Eye tracking and control-state comparison detect missed indicator changes, alert remote vehicle operators, and trigger fail-safe control.

Eye-tracking weighted heat maps help semantic segmentation focus on relevant road pixels, improving object identification for vehicle operation.

Multi-scale sensor readout cuts vision latency and power by skipping redundant image reads and enabling early processing decisions.

Raw video frames feed a CNN to track screen gaze accurately despite face masks, low light, and changing user distance.

A gimbal-mounted mirror and dual cameras steer eye images from facial features, enabling comfortable arm's-length iris capture with one camera.

Outlier detection flags unreliable retinal landmark predictions caused by occlusions or imaging artifacts, enabling accurate annotation.

Synchronized screen and camera visual cues keep user focus during biometric capture, speeding enrolment and verification in high-throughput settings.

Synchronized screen and camera indicators guide user focus naturally, cutting search time and speeding biometric capture.

Image-sensor feedback distinguishes authorized collaborators from shoulder surfers, protecting confidential display content without blocking teamwork.

A truth map scores genuine image regions so biometric matching can reject decoys while still authenticating damaged body parts.

Eye tracking turns gaze into game commands, enabling mobile play in confined spaces and improving accessibility for disabled users.

Eye confidence gating switches between eye-state and body-pose analysis to detect sleep across varied cabin postures with fewer false alarms.

Camera tracking of eyes, mouth, head posture, and skin color estimates pilot fatigue, stress, and sleep state without invasive sensors.

Fusing eye-region facial cues with gaze and scene images improves smart eyewear emotion recognition when visual context is missed.

Visual gaze guidance compensates for display-camera optical axis offset, improving eyeball recognition accuracy and shortening identification time.

Sequential full-body and iris matching narrows candidates for fast, accurate authentication of moving people with one camera.

Combining 2D texture, 3D face structure, and eye blink cues improves spoof detection and face recognition under pose and lighting changes.

Multimodal face, iris, and hand vein capture with one camera cuts false acceptance while using IR lighting and super resolution to improve iris images.

Integrated ring illumination in a handheld fundus lens eliminates external slit lamp reflections and aberrations for widefield retinal imaging.

Brightness analysis of infrared camera images simulates proximity detection, reducing device complexity while maintaining measurement precision.

Horizontal and vertical projection filtering identifies potential eye candidates in video images for subsequent spatial-geometric validation.